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Centrality Estimators for Probability Density Functions
April 10, 2024, 4:42 a.m. | Djemel Ziou
cs.LG updates on arXiv.org arxiv.org
Abstract: In this report, we explore the data selection leading to a family of estimators maximizing a centrality. The family allows a nice properties leading to accurate and robust probability density function fitting according to some criteria we define. We establish a link between the centrality estimator and the maximum likelihood, showing that the latter is a particular case. Therefore, a new probability interpretation of Fisher maximum likelihood is provided. We will introduce and study two …
abstract arxiv cs.lg data estimator explore family function functions math.st nice probability report robust stat.th type
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